In a 2023 living note from Shalizi, it's proposed that LLMs are Markov. Therefore there's nothing special about them other than being large; any other Markov model would do just as well. Shalizi therefore proposes Large Lempel-Ziv: LZ78 without dictionary truncation. This is obviously a little silly, because Lempel-Ziv dictionaries don't scale; we can't just magically escape asymptotes. Instead, we will do the non-silly thing: review the literature, design novel data structures, and demonstrate a brand-new breakthrough in compression technology.
用户任务将从 App 中心转向意图中心，当系统能理解并执行复杂任务链，App 的界面与入口将变得多余；
，详情可参考体育直播
This article originally appeared on Engadget at https://www.engadget.com/general/the-morning-after-engadget-newsletter-144951777.html?src=rss
It can track you, and nod at you when you do something right, but this one was asleep.